{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline --no-import-all"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "exotxt IsotropicHardeningPlasticFullyPrescribedTension_WithFlaw.h IsotropicHardeningPlasticFullyPrescribedTension_WithFlaw.txt\n",
      "sed 's/-308/E-308/g' IsotropicHardeningPlasticFullyPrescribedTension_WithFlaw.txt > temp;"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "                           *** exotxt Version 1.23 ***\n",
        "                               Revised 2013/08/07                      \n",
        "\n",
        "                    EXODUSII DATABASE TO TEXT FILE TRANSLATOR\n",
        "\n",
        "                          Run on 2014-01-03 at 14:59:40\n",
        "\n",
        "               ==== Email gdsjaar@sandia.gov for support ====\n",
        "\n",
        "\n",
        " DATABASE INITIAL VARIABLES\n",
        "\n",
        " Peridigm\n",
        "\n",
        " Number of coordinates per node         =         3\n",
        " Number of nodes                        =         1\n",
        " Number of elements                     =         1\n",
        " Number of element blocks               =         1\n",
        "\n",
        " Number of node sets                    =         0\n",
        " Number of side sets                    =         0\n",
        "\n",
        " Number of global variables             =         2\n",
        " Number of variables at each node       =         0\n",
        " Number of variables at each element    =         0\n",
        "\n",
        "\n",
        "      201 time steps on the input database\n",
        "       1 time steps processed\n",
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        "     201 time steps processed\n",
        "\n",
        "    201 time steps have been written to the text file\n",
        "\n",
        " exotxt used 0.01 seconds of CPU time\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "run exoplot.py temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "var_names"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "array(['MAX_VON_MISES_STRESS', 'MIN_VON_MISES_STRESS'], \n",
        "      dtype='|S20')"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "eng_strain_Y = time_steps*0.001/1.0e-8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(eng_strain_Y,data_vars[-2],eng_strain_Y,data_vars[-1]);\n",
      "plt.ylabel(\"Max/Min von Mises Stress\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AxO86O3fubPXOVFUBnTsD9/tHxrXqa0jNS0VSXhJS81LR17cvEjQJ+GjaR9wR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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x110add110>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "rm IsotropicHardeningPlasticFullyPrescribedTension_WithFlaw.txt temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    }
   ],
   "metadata": {}
  }
 ]
}